Triple
T35992081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Ain Oasis |
E1040873
|
entity |
| Predicate | irrigationSystemAge |
P175155
|
FINISHED |
| Object | over 3000 years |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: over 3000 years | Statement: [Al Ain Oasis, irrigationSystemAge, over 3000 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: irrigationSystemAge Context triple: [Al Ain Oasis, irrigationSystemAge, over 3000 years]
-
A.
hasIrrigation
Indicates that an entity is equipped with or benefits from an irrigation system supplying water.
-
B.
infrastructureAge
chosen
Indicates the length of time that a piece of infrastructure has existed since its construction or installation.
-
C.
usedIrrigation
Indicates that an entity applied or employed an irrigation system or method to supply water to land or crops.
-
D.
typeOfIrrigation
Indicates the specific irrigation method or system used to supply water to a given area or crop.
-
E.
hasIrrigationDependence
Indicates that one entity relies on another entity or system to provide irrigation for its water needs.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76e29084c819083987b828d414de7 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.